Personalize Search Results with OpenSearch Agentic Memory
Improving search relevance typically requires complex personalization pipelines — recommendation engines, feature stores, ML models. This session shows a simpler path: multiple lightweight agents that collaborate through OpenSearch’s agentic memory to understand and enrich queries in real time. Same query, different results for different users.
Tensor arithmetics in search and ranking for Ecommerce.
Small, domain-specific vision models can dramatically enhance the buyer search experience by delivering more relevant visual understanding. But the real opportunity comes from controllable image embeddings: by fusing base search embeddings with additional control vectors, representing features such as color, shape, and style,
Relevance Feedback Inside the Search Engine
How does searching for new information often look? Loops: query, review results for relevance, rewrite the query, repeat… Until success, or until the user churns / the token budget burns.
This talk introduces a new instrument for search pipeline builders: propagating query-results relevance right inside the search algorithm of a search engine.
Coffee Break
Lunch Break
Breakfast Break
Coffee Break
Lunch Break
Breakfast Break
Barcamp
Barcamps are informal sessions, a kind of “un-conference”, with a schedule decided on the day. It is all driven by the interests and expertise of those who attend so each one is different, but ours are always great!